
Computer Vision Expertise Developer
1 week ago
Deep Learning Engineering is a career path that involves designing and developing intelligent systems that can learn and adapt to new data.
A job where you increase the depth of your expertise in computer vision, learning and implementing the latest advancements in the field.
You will be working on vectorized code that runs in seconds, not in minutes, and models that learn to see and understand the world around them.
Your primary focus will be on optimizing every byte to ensure real-time performance.
You will keep the career promises that you made to yourself, such as increasing your expertise and staying up-to-date with the latest technologies.
About This OpportunityWe are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate will be an enthusiastic developer with 3-5 years of experience in the field of Computer Vision and Artificial Intelligence.
If building things and writing code excites you, this might be the right opportunity for you.
Key Technologies and Skills- Mastery of Python and Numpy programming languages
- Experience with popular deep learning frameworks like TensorFlow, Keras, or PyTorch
- Strong problem-solving and coding skills
- Familiarity with software design patterns and principles
- Knowledge of C++ programming language (desired)
- Proficiency in using Git version control system
- Excellent communication and teamwork skills
We are a deep tech startup founded by IIT Kanpur alumni. We build beautiful and scalable software solutions using computer vision and deep learning techniques.
We pride ourselves in solving complex problems that others may find challenging.
The ideal candidate should have a strong passion for learning and self-improvement, as well as excellent communication and collaboration skills.
As a Machine Learning Engineer at our company, you will have the opportunity to work on exciting projects, collaborate with talented individuals, and contribute to the growth and development of the company.
We encourage applicants who are enthusiastic about technology and eager to learn and grow with our team.
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